Ensure Seamless Data Integration and Harmonization for Public Health

Public health data comes from a wide range of sources—health facilities, labs, community surveys, administrative systems—each using different structures, terminologies, and standards. Combining these into a coherent and reliable dataset is critical for evidence-based policymaking, national reporting, and outbreak response.

At Fjelltopp, we lead the strategic design and stakeholder engagement necessary for successful data integration and harmonization efforts. We work with ministries, multilateral agencies, and NGOs to translate complex data challenges into structured, sustainable solutions.

We advise on data standards, governance, and system interoperability. Our team leads consultations with data owners and users across sectors to ensure alignment, build consensus, and establish realistic, locally owned integration strategies.

What We Offer

• Strategic Data Mapping We guide your team through the process of defining how disparate systems and datasets can align—ensuring harmonization of indicators, taxonomies, and schemas.

• Stakeholder Coordination We facilitate cross-sector engagement, ensuring that the technical process is matched with clear communication and buy-in from all relevant actors.

• Custom ETL Design Using robust open-source tools and custom Python pipelines, we build automated Extract–Transform–Load (ETL) processes that ensure accuracy, repeatability, and transparency.

• Real-Time, Standards-Based Integration We implement solutions that support real-time data flows, compatible with platforms like DHIS2, CKAN, and Open Data Kit—enabling timely insights and streamlined reporting.

Who Benefits

Our support is ideal for:

• National ministries aiming to consolidate fragmented health data systems
• UN agencies seeking to harmonize data across implementing partners
• NGOs and research teams managing large, mixed-method datasets

Working With Fjelltopp

1. Free initial consultation to identify your data sources, use cases, and governance context
2. Strategic planning to define ETL design, mappings, stakeholder roles, and validation procedures
3. Implementation & documentation of automated workflows, with training and handover to local teams
4. Ongoing support to ensure system sustainability and continuous improvement

What You Receive

• Clean, harmonized datasets in accessible formats (CSV, Excel, database imports)
• Automated, version-controlled ETL pipelines and transformation scripts
• Comprehensive mapping documentation and validation rules
• Long-term support tools and guidance for monitoring and maintenance